Triple
T8958212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Farrell |
E213530
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Terry |
E103446
|
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: Terry | Statement: [Terry Farrell, givenName, Terry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Context triple: [Terry Farrell, givenName, Terry]
-
A.
Terry
Terry is a central character associated with Calvero, likely someone he mentors or supports during a pivotal period in their story.
-
B.
Terry Richard
Terry Richard is known as a former spouse of American singer and actor Eddie Fisher.
-
C.
Terrence
Terrence is the given first name of Terry Francona, a prominent American Major League Baseball manager and former player.
-
D.
Terrence
Terrence is the first name of Pusha T, an American rapper, songwriter, and record executive known for his sharp lyricism and work as half of the duo Clipse.
-
E.
Terrence
chosen
Terrence is a masculine given name, commonly used in English-speaking countries and often shortened to "Terry."
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6729ab7c8190a6168f0aa70a5520 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9430a8c819096e0df38c107d1bd |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 7 p.m.