Triple
T18958968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Was That Lady? |
E463857
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Michael Haney
Michael Haney is a fictional character who serves as the main protagonist in the 1960 comedy film "Who Was That Lady?".
|
E1377749
|
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: Michael Haney | Statement: [Who Was That Lady?, mainCharacter, Michael Haney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Haney Context triple: [Who Was That Lady?, mainCharacter, Michael Haney]
-
A.
Eric L. Haney
Eric L. Haney is a former U.S. Army Delta Force operator and author known for his memoir "Inside Delta Force," which inspired the television series "The Unit."
-
B.
Michael Malarkey
Michael Malarkey is a British-American actor and musician best known for his roles in television series such as The Vampire Diaries and historical dramas.
-
C.
Michael Hanel
Michael Hanel is a television producer best known for his executive production work on the sitcom "The War at Home."
-
D.
Eric Haydock
Eric Haydock was an English bass guitarist best known as a founding member of the 1960s pop/rock band The Hollies.
-
E.
Michael Healey
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
- 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: Michael Haney Triple: [Who Was That Lady?, mainCharacter, Michael Haney]
Generated description
Michael Haney is a fictional character who serves as the main protagonist in the 1960 comedy film "Who Was That Lady?".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Haney Target entity description: Michael Haney is a fictional character who serves as the main protagonist in the 1960 comedy film "Who Was That Lady?".
-
A.
Eric L. Haney
Eric L. Haney is a former U.S. Army Delta Force operator and author known for his memoir "Inside Delta Force," which inspired the television series "The Unit."
-
B.
Michael Malarkey
Michael Malarkey is a British-American actor and musician best known for his roles in television series such as The Vampire Diaries and historical dramas.
-
C.
Michael Hanel
Michael Hanel is a television producer best known for his executive production work on the sitcom "The War at Home."
-
D.
Eric Haydock
Eric Haydock was an English bass guitarist best known as a founding member of the 1960s pop/rock band The Hollies.
-
E.
Michael Healey
Michael Healey is a Canadian playwright and actor best known for his acclaimed play "The Drawer Boy" and his contributions to contemporary Canadian theatre.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d057a48190b82b5788b3281e28 |
completed | April 20, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0740384d7c819090bbbacf685999b6 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0740e72ad48190a98124f59d3e33b6 |
completed | May 15, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07416b52888190aa6b2a251b407abd |
completed | May 15, 2026, 3:53 p.m. |
Created at: April 10, 2026, noon