Triple
T1313302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warner Bros. Television |
E28042
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Arrow
Arrow is a popular American superhero television series based on the DC Comics character Green Arrow, known for launching the interconnected "Arrowverse" franchise.
|
E149849
|
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: Arrow | Statement: [Warner Bros. Television, notableWork, Arrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arrow Context triple: [Warner Bros. Television, notableWork, Arrow]
-
A.
Arrow
Arrow is the English translation of "Freccia," the nickname of the Italian World War II fighter aircraft Fiat G.50.
-
B.
Will Scarlet
Will Scarlet is a legendary member of Robin Hood’s Merry Men, often portrayed as a dashing, hot-headed outlaw skilled with the sword.
-
C.
Arrowhead
Arrowhead is the popular nickname for the Kansas City Chiefs’ home football venue, GEHA Field at Arrowhead Stadium, renowned for its loud and passionate fan atmosphere.
-
D.
Falcon
The Falcon is a bird of prey known for its exceptional speed, keen vision, and use in the sport of falconry.
-
E.
Sentry
Sentry is the NATO reporting name for the E-3F airborne early warning and control (AWACS) aircraft used for long-range radar surveillance and command and control.
- 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: Arrow Triple: [Warner Bros. Television, notableWork, Arrow]
Generated description
Arrow is a popular American superhero television series based on the DC Comics character Green Arrow, known for launching the interconnected "Arrowverse" franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arrow Target entity description: Arrow is a popular American superhero television series based on the DC Comics character Green Arrow, known for launching the interconnected "Arrowverse" franchise.
-
A.
Arrow
Arrow is the English translation of "Freccia," the nickname of the Italian World War II fighter aircraft Fiat G.50.
-
B.
Will Scarlet
Will Scarlet is a legendary member of Robin Hood’s Merry Men, often portrayed as a dashing, hot-headed outlaw skilled with the sword.
-
C.
Arrowhead
Arrowhead is the popular nickname for the Kansas City Chiefs’ home football venue, GEHA Field at Arrowhead Stadium, renowned for its loud and passionate fan atmosphere.
-
D.
Falcon
The Falcon is a bird of prey known for its exceptional speed, keen vision, and use in the sport of falconry.
-
E.
Sentry
Sentry is the NATO reporting name for the E-3F airborne early warning and control (AWACS) aircraft used for long-range radar surveillance and command and control.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1585d3081909ca0221c23de63ba |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaeeece08190a805a2f037e709ce |
completed | March 7, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69acbb74a0e48190b2018b16363afea1 |
completed | March 7, 2026, 11:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbbcd8c1c8190b58680d7a1ecd982 |
completed | March 7, 2026, 11:59 p.m. |
Created at: March 1, 2026, 7:55 p.m.