Triple
T11726512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tricia |
E278783
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Trixie |
E820457
|
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: Trixie | Statement: [Tricia, hasRelatedName, Trixie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trixie Context triple: [Tricia, hasRelatedName, Trixie]
-
A.
Trixie
Trixie is Speed Racer’s loyal and daring girlfriend and helicopter pilot in the 2008 live-action film adaptation of the classic racing anime.
-
B.
Trixie
Trixie is a 2000 neo-noir mystery-comedy film known for its quirky dialogue and offbeat detective story, directed by Alan Rudolph.
-
C.
Trixie
chosen
Trixie is a character connected to Bonnie Anderson in the Toy Story franchise, likely appearing in or around her home.
-
D.
Trixie Delight
Trixie Delight is a glamorous, manipulative carnival performer who becomes a disruptive presence in the lives of a con man and a young girl in the 1973 film "Paper Moon."
-
E.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d70d908190b5f47c2ef501a191 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83e9efdc8190830f9b9cb5362b1c |
completed | April 27, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:41 p.m.