Triple
T13990713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bionic Woman |
E336564
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Lindsay Wagner |
E681258
|
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 Wagner | Statement: [The Bionic Woman, portrayedBy, Lindsay Wagner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindsay Wagner Context triple: [The Bionic Woman, portrayedBy, Lindsay Wagner]
-
A.
Lindsay Wagner
chosen
Lindsay Wagner is an American actress best known for her Emmy-winning role as Jaime Sommers in the television series "The Bionic Woman."
-
B.
Lorraine Taylor
Lorraine Taylor is known as a former spouse of musician and bandleader Ike Turner, associated with his early personal life and career period.
-
C.
Lee Russo
Lee Russo is known as the spouse of American television host and film critic Ben Mankiewicz.
-
D.
Stefanie Powers
Stefanie Powers is an American actress best known for her role as Jennifer Hart in the television series "Hart to Hart."
-
E.
Karen Allen
Karen Allen is an American actress best known for her role as Marion Ravenwood in the Indiana Jones film 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb22e388190904fc87765176c91 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd323e89948190bb280e93e2058c0a |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 10:18 p.m.