Triple
T18883185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapibai Tilak |
E461883
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tapibai |
—
|
NE NERFINISHED |
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: Tapibai | Statement: [Tapibai Tilak, givenName, Tapibai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapibai Context triple: [Tapibai Tilak, givenName, Tapibai]
-
A.
Tapibai
chosen
Tapibai is an Indian given name, notably borne by Tapibai Tilak.
-
B.
Teià
Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
-
C.
Tepi
Tepi is a town in southwestern Ethiopia known for its coffee production and location within a lush, forested region.
-
D.
Towa
Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
-
E.
Babbalanja
Babbalanja is a philosophical and skeptical character in Herman Melville’s novel "Mardi," known for his reflective monologues and probing critiques of religion, politics, and society.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d3286081908c1ae2cb413b49aa |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.