Triple

T3362554
Position Surface form Disambiguated ID Type / Status
Subject Tom Savini E70757 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the given name of Tom Savini, the renowned American special effects makeup artist, actor, and director known for his groundbreaking work in horror films.
 E354300 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: Thomas | Statement: [Tom Savini, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomas
Context triple: [Tom Savini, givenName, Thomas]
  • A. Thomas
    Thomas is the given name of Thomas Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
  • B. Thomas
    Thomas is the given name of Thomas Cranmer, the 16th-century Archbishop of Canterbury and a leading figure in the English Reformation.
  • C. Thomas
    Thomas is the middle name of Edward Thomas Wailes, an American diplomat.
  • D. Thomas
    Thomas is the given first name of the renowned American playwright Tennessee Williams, known for works such as "A Streetcar Named Desire" and "Cat on a Hot Tin Roof."
  • E. Thomas
    Thomas is the middle name of William T. Sampson, a notable U.S. Navy admiral from the Spanish–American War era.
  • 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: Thomas
Triple: [Tom Savini, givenName, Thomas]
Generated description
Thomas is the given name of Tom Savini, the renowned American special effects makeup artist, actor, and director known for his groundbreaking work in horror films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomas
Target entity description: Thomas is the given name of Tom Savini, the renowned American special effects makeup artist, actor, and director known for his groundbreaking work in horror films.
  • A. Thomas
    Thomas is the birth name of American actor, comedian, and musician Jack Black, known for films like "School of Rock" and as the lead vocalist of Tenacious D.
  • B. Thomas
    Thomas is the given name of English actor Tom Courtenay, a prominent figure in British cinema and theatre since the 1960s.
  • C. Thomas
    Thomas is the given name of Thomas Paine, the influential 18th-century political philosopher and writer known for works like "Common Sense" and "The Rights of Man."
  • D. Thomas
    Thomas is the given name of Thomas Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
  • E. Thomas
    Thomas is the given first name of American former heavyweight boxing champion Tommy Morrison.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb26a5a508190948932769de0dbb3 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bbbc3a48190bc17572ba3136948 completed March 12, 2026, 11:26 p.m.
NEDg Description generation batch_69b34e45a6c08190a0011eaa60f3d50a completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34eba517881908806b1ac285448ff completed March 12, 2026, 11:39 p.m.
Created at: March 8, 2026, 3:13 p.m.