Triple

T8762043
Position Surface form Disambiguated ID Type / Status
Subject Arthur Laurents E208224 entity
Predicate partner P1136 FINISHED
Object Tom Hatcher
Tom Hatcher was the longtime romantic partner of playwright and screenwriter Arthur Laurents.
 E755154 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: Tom Hatcher | Statement: [Arthur Laurents, partner, Tom Hatcher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Hatcher
Context triple: [Arthur Laurents, partner, Tom Hatcher]
  • A. Chuck Baxter
    Chuck Baxter is the amiable but morally conflicted insurance clerk at the center of the musical "Promises, Promises," whose romantic entanglements and ethical dilemmas drive the story.
  • B. Steve Deever
    Steve Deever is a character in Arthur Miller’s play "All My Sons," a former business partner scapegoated and imprisoned for a wartime manufacturing crime.
  • C. John Winger
    John Winger is the wisecracking, laid-back Army recruit played by Bill Murray in the 1981 comedy film "Stripes."
  • D. Larry Hillblom
    Larry Hillblom was an American businessman and entrepreneur best known as a co-founder of the global logistics and courier company DHL.
  • E. Howard Bannister
    Howard Bannister is the mild-mannered, musicologist protagonist played by Ryan O'Neal in the screwball comedy film "What's Up, Doc?".
  • 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: Tom Hatcher
Triple: [Arthur Laurents, partner, Tom Hatcher]
Generated description
Tom Hatcher was the longtime romantic partner of playwright and screenwriter Arthur Laurents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Hatcher
Target entity description: Tom Hatcher was the longtime romantic partner of playwright and screenwriter Arthur Laurents.
  • A. Chuck Baxter
    Chuck Baxter is the amiable but morally conflicted insurance clerk at the center of the musical "Promises, Promises," whose romantic entanglements and ethical dilemmas drive the story.
  • B. Steve Deever
    Steve Deever is a character in Arthur Miller’s play "All My Sons," a former business partner scapegoated and imprisoned for a wartime manufacturing crime.
  • C. John Winger
    John Winger is the wisecracking, laid-back Army recruit played by Bill Murray in the 1981 comedy film "Stripes."
  • D. Larry Hillblom
    Larry Hillblom was an American businessman and entrepreneur best known as a co-founder of the global logistics and courier company DHL.
  • E. Howard Bannister
    Howard Bannister is the mild-mannered, musicologist protagonist played by Ryan O'Neal in the screwball comedy film "What's Up, Doc?".
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dfa9d6c81908c4c6b3a6f84f67d completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4354a4c081908c338db408694abf completed April 3, 2026, 4:34 a.m.
NEDg Description generation batch_69cf44b3ce2c8190b109189990ae6564 completed April 3, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69cf4578473081909fc55632c366a56a completed April 3, 2026, 4:43 a.m.
Created at: March 30, 2026, 6:40 p.m.