Triple
T8556368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Jacob Hilfiger |
E202572
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Ally Hilfiger |
E205122
|
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: Ally Hilfiger | Statement: [Thomas Jacob Hilfiger, hasChild, Ally Hilfiger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ally Hilfiger Context triple: [Thomas Jacob Hilfiger, hasChild, Ally Hilfiger]
-
A.
Ally Hilfiger
chosen
Ally Hilfiger is an American artist, television personality, and fashion designer best known for starring in the MTV reality series "Rich Girls" and as the daughter of fashion designer Tommy Hilfiger.
-
B.
Susie Hilfiger
Susie Hilfiger is an American businesswoman and former wife of fashion designer Tommy Hilfiger, known for her involvement in the fashion and lifestyle industry.
-
C.
Kathleen Hilfiger
Kathleen Hilfiger is one of the children of American fashion designer Tommy Hilfiger.
-
D.
Nicole Miller
Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
-
E.
Tory Burch
Tory Burch is an American fashion designer and businesswoman known for her eponymous lifestyle brand featuring preppy-bohemian clothing, accessories, and footwear.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe88bcce081909e12e4037a0e6323 |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb7b60d88190a22ebf69696cd8e5 |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:19 p.m.