Triple
T7412281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoe Zimmer |
E171036
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zoe |
E186815
|
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: Zoe | Statement: [Zoe Zimmer, givenName, Zoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoe Context triple: [Zoe Zimmer, givenName, Zoe]
-
A.
Zoe
"Zoe" is a 2018 science-fiction romantic drama film directed by Drake Doremus that explores love and relationships in a near-future world of advanced artificial intelligence and synthetic partners.
-
B.
Zoe
chosen
Zoe is a feminine given name of Greek origin meaning "life," commonly used in many English-speaking and European countries.
-
C.
Zoey
Zoey is a fictional character from the television series "The West Wing," known as the youngest daughter of U.S. President Josiah Bartlet.
-
D.
Zoe Barnes
Zoe Barnes is an ambitious and morally flexible young journalist in the political drama series "House of Cards."
-
E.
Zoe Fontaine
Zoe Fontaine is a central character in the 1955 Western film "The Rawhide Years," known for her involvement in the story’s frontier drama and romantic intrigue.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2a027148190bdb6a7940389e377 |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8112960d48190a9947146e62daa13 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:11 p.m.