Triple
T13384628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hap and Leonard |
E319406
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Nightshade
Nightshade is a production company known for its work on the television series "Hap and Leonard."
|
E1036419
|
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: Nightshade | Statement: [Hap and Leonard, productionCompany, Nightshade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nightshade Context triple: [Hap and Leonard, productionCompany, Nightshade]
-
A.
Birthistle
Birthistle is an Irish surname most notably borne by actress and writer Eva Birthistle.
-
B.
La Sombra
La Sombra is a renowned Mexican professional wrestler, better known internationally as Andrade, who gained prominence in Consejo Mundial de Lucha Libre before moving on to major U.S. promotions.
-
C.
In the Dark
"In the Dark" is a 1987 studio album by the Grateful Dead that became their biggest commercial success, featuring the hit single "Touch of Grey."
-
D.
The Clinging Vine
The Clinging Vine is a 1926 silent comedy film starring Leatrice Joy as a supposedly meek woman who cleverly subverts expectations about femininity and independence.
-
E.
Pyre
Pyre is a static type checker for Python that provides fast, scalable analysis of type hints to catch type-related errors before runtime.
- 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: Nightshade Triple: [Hap and Leonard, productionCompany, Nightshade]
Generated description
Nightshade is a production company known for its work on the television series "Hap and Leonard."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nightshade Target entity description: Nightshade is a production company known for its work on the television series "Hap and Leonard."
-
A.
Birthistle
Birthistle is an Irish surname most notably borne by actress and writer Eva Birthistle.
-
B.
La Sombra
La Sombra is a renowned Mexican professional wrestler, better known internationally as Andrade, who gained prominence in Consejo Mundial de Lucha Libre before moving on to major U.S. promotions.
-
C.
In the Dark
"In the Dark" is a 1987 studio album by the Grateful Dead that became their biggest commercial success, featuring the hit single "Touch of Grey."
-
D.
The Clinging Vine
The Clinging Vine is a 1926 silent comedy film starring Leatrice Joy as a supposedly meek woman who cleverly subverts expectations about femininity and independence.
-
E.
Pyre
Pyre is a static type checker for Python that provides fast, scalable analysis of type hints to catch type-related errors before runtime.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f7276776ec81908769cd9f1cc4707e |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7280cbb6c819090bee7862e00b900 |
completed | May 3, 2026, 10:48 a.m. |
Created at: April 9, 2026, 9:33 p.m.