Triple
T14535800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Steig |
E341039
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Liza Steig
Liza Steig is known primarily as the wife of American cartoonist and children's book author William Steig.
|
E1115018
|
NE FINISHED |
How this triple was built (4 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: Liza Steig | Statement: [William Steig, spouse, Liza Steig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liza Steig Context triple: [William Steig, spouse, Liza Steig]
-
A.
Liza Weil
Liza Weil is an American actress best known for her roles as Paris Geller on "Gilmore Girls" and Bonnie Winterbottom on "How to Get Away with Murder."
-
B.
Liza Chasin
Liza Chasin is a film and television producer known for her work on independent and studio projects, including "The Ballad of Jack and Rose."
-
C.
Liza Snyder
Liza Snyder is an American television actress best known for her comedic roles on sitcoms such as "Yes, Dear" and "Man with a Plan."
-
D.
Liza Huber
Liza Huber is an American actress best known for her role on the soap opera "Passions" and as the daughter of daytime television star Susan Lucci.
-
E.
Liza Johnson
Liza Johnson is an American film director and screenwriter known for her character-driven independent films and the historical comedy-drama "Elvis & Nixon."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Liza Steig Triple: [William Steig, spouse, Liza Steig]
Generated description
Liza Steig is known primarily as the wife of American cartoonist and children's book author William Steig.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liza Steig Target entity description: Liza Steig is known primarily as the wife of American cartoonist and children's book author William Steig.
-
A.
Liza Weil
Liza Weil is an American actress best known for her roles as Paris Geller on "Gilmore Girls" and Bonnie Winterbottom on "How to Get Away with Murder."
-
B.
Liza Chasin
Liza Chasin is a film and television producer known for her work on independent and studio projects, including "The Ballad of Jack and Rose."
-
C.
Liza Snyder
Liza Snyder is an American television actress best known for her comedic roles on sitcoms such as "Yes, Dear" and "Man with a Plan."
-
D.
Liza Huber
Liza Huber is an American actress best known for her role on the soap opera "Passions" and as the daughter of daytime television star Susan Lucci.
-
E.
Liza Johnson
Liza Johnson is an American film director and screenwriter known for her character-driven independent films and the historical comedy-drama "Elvis & Nixon."
- F. None of above. chosen
Provenance (5 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1b9d39881908c7a3a5b17d432af |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf072a46481909287ef89f226270e |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf2b6c7148190a9ff302d88890b8f |
completed | May 8, 2026, 2:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf30dab20819085589da4e869fb7e |
completed | May 8, 2026, 2:28 p.m. |
Created at: April 10, 2026, 1:22 a.m.