Triple
T5514809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jezebel |
E144655
|
entity |
| Predicate | playwrightOfSourceWork |
P36129
|
FINISHED |
| Object |
Owen Davis
Owen Davis was a prolific American playwright and screenwriter known for his popular melodramas and for winning the Pulitzer Prize for Drama in 1923.
|
E529572
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Owen Davis | Statement: [Jezebel, playwrightOfSourceWork, Owen Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owen Davis Context triple: [Jezebel, playwrightOfSourceWork, Owen Davis]
-
A.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
-
B.
Owen Meredith
Owen Meredith was the pen name of British statesman and Victorian poet Edward Robert Bulwer-Lytton, known for his lyrical and romantic verse.
-
C.
Frank Davis
Frank Davis was an American screenwriter best known for co-writing the acclaimed film adaptation of "A Tree Grows in Brooklyn" (1945).
-
D.
Ben Davis
Ben Davis is a British cinematographer known for his work on major films including several Marvel Cinematic Universe entries.
-
E.
Owen Moran
Owen Moran was a prominent early 20th-century English featherweight boxer known for his toughness and for facing many of the era’s top fighters.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Owen Davis Triple: [Jezebel, playwrightOfSourceWork, Owen Davis]
Generated description
Owen Davis was a prolific American playwright and screenwriter known for his popular melodramas and for winning the Pulitzer Prize for Drama in 1923.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Owen Davis Target entity description: Owen Davis was a prolific American playwright and screenwriter known for his popular melodramas and for winning the Pulitzer Prize for Drama in 1923.
-
A.
Max Dennison
Max Dennison is the skeptical teenage protagonist of the Halloween-themed fantasy film "Hocus Pocus," whose actions accidentally resurrect three witches in Salem.
-
B.
Owen Meredith
Owen Meredith was the pen name of British statesman and Victorian poet Edward Robert Bulwer-Lytton, known for his lyrical and romantic verse.
-
C.
Frank Davis
Frank Davis was an American screenwriter best known for co-writing the acclaimed film adaptation of "A Tree Grows in Brooklyn" (1945).
-
D.
Ben Davis
Ben Davis is a British cinematographer known for his work on major films including several Marvel Cinematic Universe entries.
-
E.
Owen Moran
Owen Moran was a prominent early 20th-century English featherweight boxer known for his toughness and for facing many of the era’s top fighters.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f5b4e988190b590b4157cf089c1 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027d52b808190ada94893b043fb19 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c03847b3348190be97b7c5795df368 |
completed | March 22, 2026, 6:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c038e148a0819080a306307e60d437 |
completed | March 22, 2026, 6:45 p.m. |
Created at: March 22, 2026, 3:33 p.m.