Triple
T17944983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvin Abar |
E448680
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Cal Abar
Cal Abar is a character from the HBO series "Watchmen," notable for his complex identity and central role in the show's exploration of race, power, and masked heroism.
|
E1298045
|
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: Cal Abar | Statement: [Calvin Abar, alsoKnownAs, Cal Abar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cal Abar Context triple: [Calvin Abar, alsoKnownAs, Cal Abar]
-
A.
Yorba
Yorba is a Spanish-origin surname historically associated with early Californian landowners and the prominent Yorba family in Southern California.
-
B.
Zavalla
Zavalla is a town in the Rosario Department of Santa Fe Province, Argentina, known for its agricultural surroundings and small-town character.
-
C.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
D.
Cale
Cale is a given name used for people and fictional characters, often as a variant of Kale or short form of names like Caleb.
-
E.
Abizaid
Abizaid is the surname of John Abizaid, a retired U.S. Army general and former commander of United States Central Command.
- 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: Cal Abar Triple: [Calvin Abar, alsoKnownAs, Cal Abar]
Generated description
Cal Abar is a character from the HBO series "Watchmen," notable for his complex identity and central role in the show's exploration of race, power, and masked heroism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cal Abar Target entity description: Cal Abar is a character from the HBO series "Watchmen," notable for his complex identity and central role in the show's exploration of race, power, and masked heroism.
-
A.
Yorba
Yorba is a Spanish-origin surname historically associated with early Californian landowners and the prominent Yorba family in Southern California.
-
B.
Zavalla
Zavalla is a town in the Rosario Department of Santa Fe Province, Argentina, known for its agricultural surroundings and small-town character.
-
C.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
D.
Cale
Cale is a given name used for people and fictional characters, often as a variant of Kale or short form of names like Caleb.
-
E.
Abizaid
Abizaid is the surname of John Abizaid, a retired U.S. Army general and former commander of United States Central Command.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad990b948190a5e6fd50a15f64e3 |
completed | April 19, 2026, 10:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03291a7bc08190b5e3a997594b12de |
completed | May 12, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_6a032b6bbebc819084da96216c6406d6 |
completed | May 12, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032c34e8ac8190876e37fe8d3aa304 |
completed | May 12, 2026, 1:33 p.m. |
Created at: April 10, 2026, 10:21 a.m.