Triple

T1582080
Position Surface form Disambiguated ID Type / Status
Subject Anne Revere E33786 entity
Predicate wasBlacklistedIn P24172 FINISHED
Object Hollywood blacklist LITERAL FINISHED

How this triple was built (2 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: Hollywood blacklist | Statement: [Anne Revere, wasBlacklistedIn, Hollywood blacklist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasBlacklistedIn
Context triple: [Anne Revere, wasBlacklistedIn, Hollywood blacklist]
  • A. wasBlacklisted chosen
    Indicates that an entity has been officially banned or excluded from participation, access, or consideration, typically due to disapproval or violation of rules.
  • B. bannedBy
    Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
  • C. hasJetBan
    Indicates that an entity is subject to a prohibition or restriction on the use or operation of jet aircraft.
  • D. isWithheldBy
    Indicates that something (such as information, resources, or permission) is deliberately not given, released, or made available by a particular entity.
  • E. excludedFromAmnesty
    Indicates that an entity is not eligible for, or is specifically denied, the benefits or protections granted by an amnesty.
  • F. None of above.

Provenance (3 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abacfb1144819080c5687175aba1e1 completed March 7, 2026, 4:43 a.m.
PD Predicate disambiguation batch_69aa61b0f5bc8190b1dc272990a59c13 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:27 p.m.