Triple
T17030880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodrow Tracy Harrelson |
E413189
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tracy |
E91775
|
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: Tracy | Statement: [Woodrow Tracy Harrelson, givenName, Tracy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Context triple: [Woodrow Tracy Harrelson, givenName, Tracy]
-
A.
Tracy
chosen
Tracy is a given name commonly used for both males and females in English-speaking countries.
-
B.
Tracy
Tracy is a city in California’s Central Valley known as a growing suburban community within the San Francisco Bay Area’s commuter belt.
-
C.
Tricia
Tricia is a feminine given name commonly used as a shortened or informal form of Patricia.
-
D.
Tracee
Tracee is a young Bada Bing stripper in The Sopranos whose brutal death at the hands of Ralph Cifaretto becomes a pivotal and disturbing moment in the series.
-
E.
Tracey
Tracey is a given name used for people of any gender, more commonly as a feminine name in modern usage.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d918ec8190b54c40c2a5e9b6b9 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5748bc8190832737a70219e7a1 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.