Triple
T15355251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office Space |
E367154
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Ajay Naidu |
E700751
|
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: Ajay Naidu | Statement: [Office Space, portrayedBy, Ajay Naidu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajay Naidu Context triple: [Office Space, portrayedBy, Ajay Naidu]
-
A.
Ajay Naidu
chosen
Ajay Naidu is an American actor best known for his roles in independent films and the cult comedy "Office Space."
-
B.
Ajay Singh
Ajay Singh is an Indian entrepreneur and airline executive best known as the co-founder and driving force behind the low-cost carrier SpiceJet.
-
C.
Rajeev Suri
Rajeev Suri is an Indian business executive best known for serving as the CEO of Nokia and later Inmarsat, leading major transformations in the global telecommunications industry.
-
D.
Ajay Kumar
Ajay Kumar is an Indian screenwriter best known for contributing dialogue to major Telugu-language films, including the epic blockbuster "Baahubali: The Beginning."
-
E.
Vijay Shankar
Vijay Shankar is an Indian all-round cricketer who has represented India in limited-overs internationals and plays domestic cricket for Tamil Nadu.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219635b08190a19dcaeb72240379 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:18 a.m.