Triple

T14655612
Position Surface form Disambiguated ID Type / Status
Subject Broken Embraces E344099 entity
Predicate starring P1507 FINISHED
Object Kiti Mánver
Kiti Mánver is a Spanish actress known for her extensive work in film, television, and theater, frequently collaborating with acclaimed directors such as Pedro Almodóvar.
 E1112927 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: Kiti Mánver | Statement: [Broken Embraces, starring, Kiti Mánver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiti Mánver
Context triple: [Broken Embraces, starring, Kiti Mánver]
  • A. Makonnen
    Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
  • B. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • C. Kengamine
    Kengamine is the main summit of Mount Norikura, a prominent volcanic peak in Japan’s Northern Alps.
  • D. Kumandian
    Kumandian is a Turkic ethnic group native to parts of Siberia, particularly in Russia’s Altai region, with its own distinct language and cultural traditions.
  • E. Katete
    Katete is a town in eastern Zambia that serves as a key trading and transit hub near the border with Mozambique.
  • 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: Kiti Mánver
Triple: [Broken Embraces, starring, Kiti Mánver]
Generated description
Kiti Mánver is a Spanish actress known for her extensive work in film, television, and theater, frequently collaborating with acclaimed directors such as Pedro Almodóvar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiti Mánver
Target entity description: Kiti Mánver is a Spanish actress known for her extensive work in film, television, and theater, frequently collaborating with acclaimed directors such as Pedro Almodóvar.
  • A. Makonnen
    Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
  • B. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • C. Kengamine
    Kengamine is the main summit of Mount Norikura, a prominent volcanic peak in Japan’s Northern Alps.
  • D. Kumandian
    Kumandian is a Turkic ethnic group native to parts of Siberia, particularly in Russia’s Altai region, with its own distinct language and cultural traditions.
  • E. Katete
    Katete is a town in eastern Zambia that serves as a key trading and transit hub near the border with Mozambique.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5de0b98819094c32765e4cb3f9c completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fddd8d7da481909d38d9390770939c completed May 8, 2026, 12:56 p.m.
NED2 Entity disambiguation (via description) batch_69fdde23da708190b7eabeed6a9cb169 completed May 8, 2026, 12:59 p.m.
Created at: April 10, 2026, 1:27 a.m.