Triple
T14637748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 99 Homes |
E343649
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Amir Naderi |
E849576
|
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: Amir Naderi | Statement: [99 Homes, writer, Amir Naderi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amir Naderi Context triple: [99 Homes, writer, Amir Naderi]
-
A.
Amir Naderi
chosen
Amir Naderi is an acclaimed Iranian filmmaker and screenwriter known for influential works in Iranian New Wave cinema and later international films.
-
B.
Amir Esmailian
Amir Esmailian is a Canadian music executive and talent manager best known for co-founding XO and helping develop the career of The Weeknd.
-
C.
Hossein Amini
Hossein Amini is an Iranian-British screenwriter and director known for his work on films such as "Drive," "The Wings of the Dove," and various literary adaptations.
-
D.
Behzad Farahani
Behzad Farahani is an Iranian actor and playwright known for his significant contributions to Iranian theater and cinema.
-
E.
Mehdi Hatamian
Mehdi Hatamian is an electrical engineer and technologist recognized for his influential contributions to high-speed integrated circuits and signal processing, for which he has received major industry honors.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aca6448190adf1042dfbfef716 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cdc54a881909d9ea43c26b9d5ef |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:26 a.m.