Triple
T9145495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Lasichanh |
E219440
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Rocket Ayer Williams |
E219439
|
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: Rocket Ayer Williams | Statement: [Helen Lasichanh, hasChild, Rocket Ayer Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocket Ayer Williams Context triple: [Helen Lasichanh, hasChild, Rocket Ayer Williams]
-
A.
Rocket Ayer Williams
chosen
Rocket Ayer Williams is the son of American musician and producer Pharrell Williams.
-
B.
Durbin Rocket
Durbin Rocket is a historic steam-powered excursion train in West Virginia that offers scenic heritage rail trips along the Greenbrier River.
-
C.
Rockets
The Rockets are the athletic teams representing the University of Toledo in NCAA Division I sports.
-
D.
Battery Wheeler
Battery Wheeler is a coastal artillery battery that formed part of the defensive fortifications at Fort Mills on Corregidor Island in the Philippines.
-
E.
Ryder
Ryder is the young, tech-savvy leader of the PAW Patrol team who guides a group of rescue pups on missions to protect their community.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9166d308190a742ae68371439ee |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d04820eef08190839cecb5bb74f122 |
completed | April 3, 2026, 11:07 p.m. |
Created at: March 30, 2026, 7:19 p.m.