Triple

T8002322
Position Surface form Disambiguated ID Type / Status
Subject Maggie Gyllenhaal E186279 entity
Predicate givenName P17 FINISHED
Object Margalit
Margalit is the given first name of American actress and filmmaker Maggie Gyllenhaal.
E704177 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: Margalit | Statement: [Maggie Gyllenhaal, givenName, Margalit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margalit
Context triple: [Maggie Gyllenhaal, givenName, Margalit]
  • A. Ayelet
    Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
  • B. Yona Efrat
    Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
  • C. Nili Priel
    Nili Priel is an Israeli public figure best known as the wife of former Prime Minister and Defense Minister Ehud Barak.
  • D. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • E. Yona Wallach
    Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
  • 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: Margalit
Triple: [Maggie Gyllenhaal, givenName, Margalit]
Generated description
Margalit is the given first name of American actress and filmmaker Maggie Gyllenhaal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margalit
Target entity description: Margalit is the given first name of American actress and filmmaker Maggie Gyllenhaal.
  • A. Ayelet
    Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
  • B. Yona Efrat
    Yona Efrat is an Israeli public figure who served on the Kahan Commission, the official Israeli inquiry into the 1982 Sabra and Shatila massacre.
  • C. Nili Priel
    Nili Priel is an Israeli public figure best known as the wife of former Prime Minister and Defense Minister Ehud Barak.
  • D. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • E. Yona Wallach
    Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe11aefc88190bcf614e936455927 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe441b76881909efa791b74316088 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc34749ae08190a1d30919a0594bfd completed March 31, 2026, 8:54 p.m.
Created at: March 30, 2026, 5:18 p.m.