Triple
T3758054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Y: The Last Man |
E82095
|
entity |
| Predicate | penciller |
P10119
|
FINISHED |
| Object | Pia Guerra |
E385724
|
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: Pia Guerra | Statement: [Y: The Last Man, penciller, Pia Guerra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pia Guerra Context triple: [Y: The Last Man, penciller, Pia Guerra]
-
A.
Pia Guerra
chosen
Pia Guerra is a Canadian comic book artist best known for her acclaimed work on the Vertigo series "Y: The Last Man."
-
B.
Andrea Guerra
Andrea Guerra is an Italian composer best known for his film scores, including his work on major international productions.
-
C.
Mery Andrade
Mery Andrade is a former professional basketball player from Portugal who starred at Old Dominion University before playing in the WNBA and later becoming a coach.
-
D.
Ana Navarro
Ana Navarro is a Nicaraguan-American Republican strategist, political commentator, and television personality known for her outspoken views on U.S. politics.
-
E.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc04d348190b0e4a90d18bdd160 |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f0321c4c8190ba372148c483c4ca |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:35 p.m.