Triple

T23264178
Position Surface form Disambiguated ID Type / Status
Subject Ulee's Gold E582100 entity
Predicate starring P1507 FINISHED
Object Tom Wood
Tom Wood is an American actor known for supporting roles in films such as "Ulee's Gold" and "The Fugitive."
 E1344755 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 Wood | Statement: [Ulee's Gold, starring, Tom Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Wood
Context triple: [Ulee's Gold, starring, Tom Wood]
  • A. Tom Wood
    Tom Wood is an actor known for his role in the film "The Rink."
  • B. Harry Woods
    Harry Woods was an American character actor best known for his prolific portrayals of villains in numerous Hollywood films from the silent era through the 1950s.
  • C. Howard Wood
    Howard Wood is an American businessman best known as a co-founder and early leader of the telecommunications and cable company Charter Communications.
  • D. Tony Woodley
    Tony Woodley is a British trade union leader best known for heading one of the UK’s largest unions and playing a prominent role in labor and political campaigns.
  • E. John Wood
    John Wood was a British character actor known for his distinguished stage and screen career, including roles in films such as "Jumpin' Jack Flash" and "WarGames."
  • 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 Wood
Triple: [Ulee's Gold, starring, Tom Wood]
Generated description
Tom Wood is an American actor known for supporting roles in films such as "Ulee's Gold" and "The Fugitive."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Wood
Target entity description: Tom Wood is an American actor known for supporting roles in films such as "Ulee's Gold" and "The Fugitive."
  • A. Tom Wood chosen
    Tom Wood is an actor known for his role in the film "The Rink."
  • B. Harry Woods
    Harry Woods was an American character actor best known for his prolific portrayals of villains in numerous Hollywood films from the silent era through the 1950s.
  • C. Howard Wood
    Howard Wood is an American businessman best known as a co-founder and early leader of the telecommunications and cable company Charter Communications.
  • D. Tony Woodley
    Tony Woodley is a British trade union leader best known for heading one of the UK’s largest unions and playing a prominent role in labor and political campaigns.
  • E. John Wood
    John Wood was a British character actor known for his distinguished stage and screen career, including roles in films such as "Jumpin' Jack Flash" and "WarGames."
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194cb76c48190869915cd93b44fcc completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f723d4081909c2ff75ba4ada497 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c405be1188190b6622665e448bbe7 completed May 19, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40c6562481908689eca2a4997115 completed May 19, 2026, 10:51 a.m.
Created at: April 17, 2026, 4:11 p.m.