Triple
T379816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wizard of Oz |
E8653
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Jack Haley
Jack Haley was an American actor best known for playing the Tin Man in the classic 1939 film "The Wizard of Oz."
|
E49587
|
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: Jack Haley | Statement: [The Wizard of Oz, starring, Jack Haley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Haley Context triple: [The Wizard of Oz, starring, Jack Haley]
-
A.
Roy Harlow
Roy Harlow was the husband of silent film actress Marie Mosquini, known primarily in relation to her career in early American cinema.
-
B.
Clifton Daniel
Clifton Daniel was an American newspaper editor and managing editor of The New York Times, known also as the son-in-law of U.S. President Harry S. Truman.
-
C.
Rance Howard
Rance Howard was an American character actor known for his extensive work in film and television and as the patriarch of the Howard acting and directing family.
-
D.
Norman Lloyd
Norman Lloyd was an American actor, producer, and director whose career in film, television, and theater spanned more than eight decades.
-
E.
Leslie Harter
Leslie Harter is a film producer known for her work in Hollywood and for being married to director Robert Zemeckis.
- 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: Jack Haley Triple: [The Wizard of Oz, starring, Jack Haley]
Generated description
Jack Haley was an American actor best known for playing the Tin Man in the classic 1939 film "The Wizard of Oz."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Haley Target entity description: Jack Haley was an American actor best known for playing the Tin Man in the classic 1939 film "The Wizard of Oz."
-
A.
Roy Harlow
Roy Harlow was the husband of silent film actress Marie Mosquini, known primarily in relation to her career in early American cinema.
-
B.
Clifton Daniel
Clifton Daniel was an American newspaper editor and managing editor of The New York Times, known also as the son-in-law of U.S. President Harry S. Truman.
-
C.
Rance Howard
Rance Howard was an American character actor known for his extensive work in film and television and as the patriarch of the Howard acting and directing family.
-
D.
Norman Lloyd
Norman Lloyd was an American actor, producer, and director whose career in film, television, and theater spanned more than eight decades.
-
E.
Leslie Harter
Leslie Harter is a film producer known for her work in Hollywood and for being married to director Robert Zemeckis.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2b07248190979229bad3a741c9 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a405f431d48190b83e2eaa2fe0e587 |
completed | March 1, 2026, 9:25 a.m. |
| NEDg | Description generation | batch_69a4068c6b708190b8f06efedc6ba2c6 |
completed | March 1, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a406d581888190a0380f362a844089 |
completed | March 1, 2026, 9:28 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.