Triple

T13818247
Position Surface form Disambiguated ID Type / Status
Subject Ali Sami E332071 entity
Predicate knownAs P39 FINISHED
Object Ali Sami E332071 NE 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: Ali Sami | Statement: [Ali Sami, knownAs, Ali Sami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Sami
Context triple: [Ali Sami, knownAs, Ali Sami]
  • A. Ali Sami chosen
    Ali Sami was an Iranian archaeologist and historian known for his significant excavations and research at ancient Persian sites.
  • B. Ali Sami Yen
    Ali Sami Yen was a prominent Turkish sports executive and visionary who founded and led the Galatasaray Sports Club, becoming an iconic figure in Turkish football history.
  • C. Ali Sadpara
    Ali Sadpara was a renowned Pakistani high-altitude mountaineer celebrated for his pioneering winter ascents in the Himalayas and Karakoram.
  • D. Hakan Şükür
    Hakan Şükür is a retired Turkish striker widely regarded as one of Turkey’s greatest footballers, best known for his prolific goal-scoring for Galatasaray and the Turkish national team, including the fastest goal in World Cup history.
  • E. Hassan Kadam
    Hassan Kadam is a gifted young Indian chef whose culinary talent and personal journey drive the narrative of the film "The Hundred-Foot Journey."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0281bb988190803ee195f430b9c8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e966c48190abe109d44300014a completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:12 p.m.