Triple
T15392638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac Taylor |
E368085
|
entity |
| Predicate | colleague |
P398
|
FINISHED |
| Object | Lindsay Monroe |
E370212
|
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: Lindsay Monroe | Statement: [Mac Taylor, colleague, Lindsay Monroe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindsay Monroe Context triple: [Mac Taylor, colleague, Lindsay Monroe]
-
A.
Lindsay Monroe
chosen
Lindsay Monroe is a forensic scientist and crime scene investigator featured as a central character in the television series CSI: NY.
-
B.
Deanna Monroe
Deanna Monroe is a prominent character in The Walking Dead TV series, known as the pragmatic and politically savvy former congresswoman who leads the Alexandria Safe-Zone.
-
C.
Lindsay Merrill
Lindsay Merrill is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Merrill.
-
D.
Lindsay Mills
Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
-
E.
Lindsay Taylor
Lindsay Taylor is an American soccer forward best known for her standout collegiate career with Stanford and subsequent professional play in the National Women's Soccer League.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff755ffbdc8190825010885e68ebc3 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 3:19 a.m.