Triple
T11733616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zahn McClarnon |
E278966
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zahn |
E559732
|
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: Zahn | Statement: [Zahn McClarnon, givenName, Zahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zahn Context triple: [Zahn McClarnon, givenName, Zahn]
-
A.
Zahn
chosen
Zahn is a surname most prominently associated with American actor and comedian Steve Zahn, known for his roles in films like "That Thing You Do!" and "Saving Silverman."
-
B.
Zahniser
Zahniser is a surname most notably associated with Howard Zahniser, the American environmentalist and principal author of the U.S. Wilderness Act.
-
C.
Denti
Denti is an Italian film featuring actor and director Sergio Rubini, known for its darkly comic exploration of relationships and personal neuroses.
-
D.
Jawz
Jawz is the jaguar mascot representing Indiana University–Purdue University Indianapolis (IUPUI) at its athletic events and campus activities.
-
E.
Zurer
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
- 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_69d8a4daa7f48190896fc7653e9dd70b |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8406fe8881909722ecb040087e68 |
completed | April 27, 2026, 3:43 p.m. |
Created at: April 8, 2026, 9:41 p.m.