Triple
T22464601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Sembène |
E555317
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object |
Owen Grady
Owen Grady is a skilled Velociraptor trainer and former Navy veteran who becomes a central hero in the Jurassic World film series.
|
E132162
|
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 Grady | Statement: [Barry Sembène, worksWith, Owen Grady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owen Grady Context triple: [Barry Sembène, worksWith, Owen Grady]
-
A.
Owen Grady
Owen Grady is a skilled Velociraptor trainer and former Navy veteran who serves as a central protagonist in the Jurassic World film series.
-
B.
Gavan Duffy
Gavan Duffy is the surname of George Gavan Duffy, an Irish politician, lawyer, and signatory of the Anglo-Irish Treaty who later served as a judge.
-
C.
Owen Conway
Owen Conway is the main protagonist of the science fiction story "Regeneration."
-
D.
Gavan O'Herlihy
Gavan O'Herlihy was an Irish-American actor known for his character roles in film and television, including appearances in genre and action movies of the 1970s and 1980s.
-
E.
Samuel Hackett
Samuel Hackett was an early landowner and mill operator whose prominence in the area led to the New Jersey town of Hackettstown being named in his honor.
- 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 Grady Triple: [Barry Sembène, worksWith, Owen Grady]
Generated description
Owen Grady is a skilled Velociraptor trainer and former Navy veteran who becomes a central hero in the Jurassic World film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Owen Grady Target entity description: Owen Grady is a skilled Velociraptor trainer and former Navy veteran who becomes a central hero in the Jurassic World film series.
-
A.
Owen Grady
chosen
Owen Grady is a skilled Velociraptor trainer and former Navy veteran who serves as a central protagonist in the Jurassic World film series.
-
B.
Gavan Duffy
Gavan Duffy is the surname of George Gavan Duffy, an Irish politician, lawyer, and signatory of the Anglo-Irish Treaty who later served as a judge.
-
C.
Owen Conway
Owen Conway is the main protagonist of the science fiction story "Regeneration."
-
D.
Gavan O'Herlihy
Gavan O'Herlihy was an Irish-American actor known for his character roles in film and television, including appearances in genre and action movies of the 1970s and 1980s.
-
E.
Samuel Hackett
Samuel Hackett was an early landowner and mill operator whose prominence in the area led to the New Jersey town of Hackettstown being named in his honor.
- F. None of above.
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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b82549c8190943c0940bb90bafc |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d544a108190a9b3a47a4a6f7e8f |
completed | May 18, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_6a0b3645f5a881908b322d16c7704e27 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3769c36081909ff732275513bb2b |
completed | May 18, 2026, 3:59 p.m. |
Created at: April 16, 2026, 8:48 p.m.