Triple
T11668530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Newsboy Legion |
E277314
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Gabby
Gabby is a member of DC Comics' Newsboy Legion, a group of streetwise youths who often assist superheroes like the Guardian in their adventures.
|
E939473
|
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: Gabby | Statement: [The Newsboy Legion, member, Gabby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabby Context triple: [The Newsboy Legion, member, Gabby]
-
A.
Gabby Gabby
Gabby Gabby is the antique pull-string doll antagonist-turned-ally from Pixar's "Toy Story 4," known for her vintage appearance and desire for a child's love.
-
B.
Gabi
Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
-
C.
Abbie
Abbie is a central character in the film "20th Century Women," portrayed as a punk-influenced, free-spirited young woman who helps shape the coming-of-age journey of the teenage protagonist.
-
D.
Abby
Abby is a character portrayed by actress Yvonne De Carlo in the Western film "Shotgun."
-
E.
Abby
Abby is a central character in the stage play "The Late Christopher Bean," around whom much of the drama and moral conflict revolves.
- 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: Gabby Triple: [The Newsboy Legion, member, Gabby]
Generated description
Gabby is a member of DC Comics' Newsboy Legion, a group of streetwise youths who often assist superheroes like the Guardian in their adventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabby Target entity description: Gabby is a member of DC Comics' Newsboy Legion, a group of streetwise youths who often assist superheroes like the Guardian in their adventures.
-
A.
Gabby Gabby
Gabby Gabby is the antique pull-string doll antagonist-turned-ally from Pixar's "Toy Story 4," known for her vintage appearance and desire for a child's love.
-
B.
Gabi
Gabi is a common diminutive form of the given name Gabriel (and sometimes Gabriela), used in various languages as a familiar or affectionate nickname.
-
C.
Abbie
Abbie is a central character in the film "20th Century Women," portrayed as a punk-influenced, free-spirited young woman who helps shape the coming-of-age journey of the teenage protagonist.
-
D.
Abby
Abby is a central character in the stage play "The Late Christopher Bean," around whom much of the drama and moral conflict revolves.
-
E.
Abby
Abby is a character portrayed by actress Yvonne De Carlo in the Western film "Shotgun."
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13c3ea648190ae18cd2869be74ad |
completed | April 27, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69ef3550fae881909246cd4cca047a19 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef519f95488190b4b5a167aa930133 |
completed | April 27, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:39 p.m.