Triple
T13118005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Stacy |
E311145
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stacy |
E274264
|
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: Stacy | Statement: [Michelle Stacy, familyName, Stacy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stacy Context triple: [Michelle Stacy, familyName, Stacy]
-
A.
Stacy
Stacy is the birth name of Fergie, the American singer and former member of the Black Eyed Peas.
-
B.
Stacy
chosen
Stacy is a feminine given name commonly used in English-speaking countries, often as a diminutive of names like Anastasia or Eustace.
-
C.
Stefanie
Stefanie is a feminine given name of German origin, commonly used in German-speaking and other European countries.
-
D.
Stacy's Mom
"Stacy's Mom" is a 2003 power pop song by Fountains of Wayne, known for its catchy hook and humorous portrayal of teenage infatuation with a friend's mother.
-
E.
Stacy Barrett
Stacy Barrett is a bubbly, loyal, and somewhat ditzy best friend character from the legal comedy-drama TV series "Drop Dead Diva."
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98182011c8190a504678affbb7787 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e284c3c881909d65e2ba89fbe7af |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:06 p.m.