Triple
T8940762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paruthiveeran |
E212893
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Ameer |
E768517
|
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: Ameer | Statement: [Paruthiveeran, writer, Ameer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ameer Context triple: [Paruthiveeran, writer, Ameer]
-
A.
Ameer
chosen
Ameer is an Indian film director best known for his critically acclaimed work in Tamil cinema.
-
B.
Entissar Amer
Entissar Amer is the First Lady of Egypt and the wife of President Abdel Fattah el-Sisi.
-
C.
Nasr
Nasr is an ancient Arabian deity, often linked to a vulture or eagle, venerated in parts of pre-Islamic South Arabia.
-
D.
Amri
Amri is an archaeological site in present-day Pakistan associated with the early phases of the Indus Valley Civilization.
-
E.
Al-Ameed
Al-Ameed is a popular nickname for Al Ittihad Club, one of Saudi Arabia’s oldest and most successful football teams.
- 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_69ca839694c88190b324ffeb43d23b08 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66b8b37c8190bce6e049de8cf732 |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc93a1e4c8190b33478783dcd09d7 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:58 p.m.